构建可扩展的通用智能框架，让AI跨模态协同解决复杂现实问题。
Creating Scalable AGI: the Open General Intelligence Framework
- 采用模块化架构，通过动态系统整合多模态认知模块。
- 支持实时适配与跨模态融合，提升系统可扩展性与可靠性。
- 适合需要多任务、强推理的复杂场景如医疗诊断与金融决策。
近年来，人工智能（AI）在大型语言模型（LLMs）推动下，在图像分类、语言翻译、编程与写作等特定任务上取得显著进展。然而，这些模型受限于孤岛式架构，仅能处理单一数据模态，难以整合解决真实世界复杂问题所需的多维度数据点，如医疗诊断、质量检测、设备故障排查与金融决策。为此，我们提出开放通用智能（OGI）框架，一种新型系统架构，作为通用人工智能（AGI）的设计参考。该框架基于认知需跨多个专用模块协同的假设，采用模块化设计，通过动态处理系统与织构互连实现无缝集成。其包含三个核心组件：(1) 总体宏观设计指引，指导系统运行与处理逻辑；(2) 动态处理系统，控制路由、目标、指令与权重分配；(3) 框架区域，即一组协同工作的专用模块，构成统一认知系统。通过融入人类认知原理，OGI旨在突破当前智能系统的局限，推动更全面、情境感知的问题解决能力发展。
原文摘要 · Abstract (English)
Recent advancements in Artificial Intelligence (AI), particularly with Large Language Models (LLMs), have led to significant progress in narrow tasks such as image classification, language translation, coding, and writing. However, these models face limitations in reliability and scalability due to their siloed architectures, which are designed to handle only one data modality (data type) at a time. This single modal approach hinders their ability to integrate the complex set of data points required for real-world challenges and problem-solving tasks like medical diagnosis, quality assurance, equipment troubleshooting, and financial decision-making. Addressing these real-world challenges requires a more capable Artificial General Intelligence (AGI) system. Our primary contribution is the development of the Open General Intelligence (OGI) framework, a novel systems architecture that serves as a macro design reference for AGI. The OGI framework adopts a modular approach to the design of intelligent systems, based on the premise that cognition must occur across multiple specialized modules that can seamlessly operate as a single system. OGI integrates these modules using a dynamic processing system and a fabric interconnect, enabling real-time adaptability, multi-modal integration, and scalable processing. The OGI framework consists of three key components: (1) Overall Macro Design Guidance that directs operational design and processing, (2) a Dynamic Processing System that controls routing, primary goals, instructions, and weighting, and (3) Framework Areas, a set of specialized modules that operate cohesively to form a unified cognitive system. By incorporating known principles from human cognition into AI systems, the OGI framework aims to overcome the challenges observed in today's intelligent systems, paving the way for more holistic and context-aware problem-solving capabilities.
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